Power box intelligent control system for operation site

Abstract

The invention discloses a power box intelligent control system for an operation site, and relates to the technical field of power box control. According to the power box intelligent control system for the operation site, a data acquisition and judgment module is used for acquiring operation monitoring data of a power box, analyzing to obtain an operation evaluation index, and comparing the operation evaluation index with a threshold value; the external power control module is used for acquiring operation time sequence data when the operation evaluation index is higher than a threshold value, and analyzing to obtain a comprehensive power consumption index of each equipment in each time period; the prediction analysis module is used for predicting the power consumption index of the next time period; the power regulation and control module is used for comparing the predicted power consumption index with a power consumption index threshold value and taking corresponding regulation and control measures; according to the system and the method, accurate regulation and control are carried out on a plurality of external power devices through the data collected in real time, so that the safety and the stability of the power box are improved, and it is ensured that power supply of a working site is always stable.

Description

Technical Field

[0001] The present invention relates to the technical field of power box control, and specifically provides an intelligent control system for a power box used at a work site. Background Art

[0002] In modern industrial production and engineering operations, as a key power supply device, a power box is usually used to provide stable power support for multiple external power devices. These external devices are widely used in various work sites, such as construction sites, mining operations, transportation systems, etc. The power box needs to accurately schedule and manage the power demands of these devices. However, due to the different functions and working states of different external power devices, there are significant differences in their power consumption characteristics. Traditional power box control systems face a series of challenges when dealing with multiple external power devices.

[0003] The prior art, such as the intelligent power status monitoring and control method and system disclosed in the patent application with publication number CN118795827A, includes: performing real-time data collection based on preset sensors to obtain power operation status data; obtaining power historical data, including normal power data and abnormal power data, and performing model training based on the normal power data and abnormal power data to obtain a power status classification model; classifying and labeling the power operation status data based on the power status classification model to construct a power digital twin model; performing power status evaluation based on the power digital twin model to obtain a power status prediction report; and generating control instructions based on the power status prediction report for regulation. The present invention solves the technical problem of low control accuracy in the prior art when performing power status monitoring and control, realizes accurate fault prediction and intelligent regulation of the power supply, and achieves the technical effect of improving the operation stability of the power supply.

[0004] Based on the above solutions, it is found that the limitations of the prior art at least include the following problems. First, for the power box in the on-site operation environment, the prior art lacks a flexible and dynamic real-time adjustment mechanism, and it is difficult to respond to various complex on-site operation situations in real time, which easily leads to a lag in response to sudden power demands or power failures, thus affecting the stability and safety of the power supply at the work site. Moreover, the prior art fails to fully consider the personalized needs and power consumption changes of external power devices, making it difficult to perform effective prediction and precise control, and thus easily resulting in low power scheduling efficiency. Summary of the Invention

[0005] Aiming at the deficiencies of the prior art, the present invention provides an intelligent control system for a power box used at a work site, which solves the problems that the prior art lacks a flexible and dynamic real-time adjustment mechanism for the power box in the on-site operation environment and fails to fully consider the personalized needs and power consumption changes of external power devices.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: An intelligent control system for a power supply box used at a job site, comprising: a data acquisition and judgment module, configured to obtain the operation monitoring data of the power supply box to be controlled, and perform monitoring and analysis to obtain the operation evaluation index of the power supply box to be controlled, and perform judgment and analysis with a preset operation evaluation index threshold; an external power control module, configured to continuously obtain the power operation timing data of several external power devices of the power supply box to be controlled when the operation evaluation index of the power supply box to be controlled is higher than the preset operation evaluation index threshold, and perform data analysis to obtain the comprehensive power consumption index of each external power device of the power supply box to be controlled at each time period; a prediction and analysis module, configured to perform prediction and analysis on the comprehensive power consumption index of each external power device of the power supply box to be controlled at each time period to obtain the power consumption index of each external power device of the power supply box to be controlled in the next time period; a power regulation module, configured to respectively compare and analyze the power consumption index of each external power device of the power supply box to be controlled in the next time period with a preset corresponding power consumption index threshold, and take corresponding regulation measures based on the comparison and analysis results; a power supply box repair module, configured to take repair measures when the operation evaluation index of the power supply box to be controlled is lower than or equal to the preset operation evaluation index threshold.

[0007] Further, the operation monitoring data includes a power supply stability index, an internal environment abnormality index, a communication abnormality index, and a fault risk index, and the power operation timing data includes an active power value, a voltage fluctuation index, an operating current fluctuation index, a load fluctuation index, a power factor, an electromagnetic interference index, a reverse power flow index, and a ground current index.

[0008] Further, the specific steps for obtaining the operation evaluation index of the power supply box to be controlled are as follows: Read the power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index of the power supply box to be controlled for normalization processing; Based on the normalized power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index of the power supply box to be controlled, perform comprehensive analysis to obtain the operation evaluation index of the power supply box to be controlled.

[0009] Further, the specific formula for calculating the operation evaluation index of the power supply box to be controlled is as follows: ; Wherein, is the operation evaluation index of the power supply box to be controlled, , , , are respectively the power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index after normalization processing, , , , , are, in sequence, the power supply adjustment coefficient, environment anomaly adjustment coefficient, communication anomaly adjustment coefficient, fault adjustment coefficient, and interaction adjustment coefficient stored in the database.

[0010] Furthermore, the specific steps to obtain the comprehensive power consumption index of each external power device of the power supply box to be controlled for each time period are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the initial power consumption index of each external power device of the power supply box to be controlled for each time period; and read the electromagnetic interference index, reverse power flow index, and ground current index of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the abnormal operation index of each external power device of the power supply box to be controlled for each time period; obtain the device interference index, external environment interference index, and usage behavior index of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the power consumption correction index of each external power device of the power supply box to be controlled for each time period; comprehensively analyze the initial comprehensive power consumption index, abnormal operation index, and power consumption correction index of each external power device of the power supply box to be controlled for each time period to obtain the comprehensive power consumption index of each external power device of the control power supply box for each time period.

[0011] Furthermore, the specific formulas for calculating the abnormal operation index, power consumption correction index, and comprehensive power consumption index of each external power device of the power supply box to be controlled for each time period are as follows: ; wherein, is the abnormal operation index of the th external power device of the power supply box to be controlled for the th time period, , , and, in sequence, are the electromagnetic interference index, reverse power flow index, and ground current index of the th external power device of the power supply box to be controlled for the th time period, , , , are, in sequence, the electromagnetic interference adjustment coefficient, reverse power flow adjustment coefficient, ground current adjustment coefficient, and reverse power and ground current coupling adjustment coefficient stored in the database, , , , are, in sequence, the th external power device of the power supply box to be controlled The power consumption correction index, equipment interference index, external environment interference index, and usage behavior index for a period , , , are, in sequence, the equipment interference adjustment coefficient, external environment interference adjustment coefficient, usage behavior adjustment coefficient, and superposition adjustment coefficient stored in the database. is the th comprehensive power consumption index for the th external power equipment of the power supply box to be controlled for the th period. , , , are, in sequence, the initial power consumption adjustment coefficient, operation anomaly adjustment coefficient, power consumption correction adjustment coefficient, and comprehensive interaction coefficient stored in the database. 1, 2, 3, …, , is the number of external power equipment. 1, 2, 3, …, , is the number of periods.

[0012] Furthermore, the specific steps to obtain the initial power consumption index for each period of each external power equipment of the power supply box to be controlled are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor for each period of each external power equipment of the power supply box to be controlled, and perform standardization processing; Based on the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor for each period of each external power equipment of the power supply box to be controlled after standardization processing, and perform comprehensive analysis to obtain the initial power consumption index for each period of each external power equipment of the power supply box to be controlled.

[0013] Furthermore, the specific formula for calculating the initial power consumption index for each period of each external power equipment of the power supply box to be controlled is as follows: ; where is the initial power consumption index for the th period of the th external power equipment of the power supply box to be controlled, , , The first and second power boxes to be controlled after standardized processing are The first external power device Active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, power factor of each time period, , , , , , They are the active power adjustment coefficient, voltage fluctuation adjustment coefficient, current fluctuation adjustment coefficient, load fluctuation adjustment coefficient, interaction fluctuation adjustment coefficient, and power factor adjustment coefficient stored in the database. 1, 2, 3, ..., , is the number of external power devices, 1, 2, 3, ..., , is the number of time periods, is a natural constant.

[0014] Furthermore, the specific steps for obtaining the power consumption index of each external power device of the power box to be controlled for the next time period are as follows: trend analysis is performed on the comprehensive power consumption index of each external power device of the power box to be controlled for each time period, and several groups of comprehensive power consumption index change rates of each external power device of the power box to be controlled are obtained; and mean processing is performed on the comprehensive power consumption index of each time period of each external power device of the power box to be controlled to obtain the mean of the comprehensive power consumption index of each external power device of the power box to be controlled, and comprehensive analysis is performed in combination with each group of comprehensive power consumption index change rates to obtain the comprehensive power consumption prediction index of each external power device of the power box to be controlled, that is, the power consumption index of each external power device of the power box to be controlled for the next time period.

[0015] Furthermore, the specific steps for taking corresponding control measures based on the comparison and analysis results are as follows: if the power consumption index of each external power device of the power box to be controlled in the next time period is higher than the preset corresponding power consumption index threshold, take the first control measure; if the power consumption index of each external power device of the power box to be controlled in the next time period is not higher than the preset corresponding power consumption index threshold, take the second control measure.

[0016] The present invention has the following beneficial effects: (1) The intelligent control system for the power supply box used at the operation site precisely regulates the corresponding external power equipment by collecting real-time power operation data and the power operation timing data of multiple external power equipment. When the operation evaluation index of the power supply box is higher than the set threshold, the system continuously obtains the power operation timing data of the external power equipment and analyzes to obtain the comprehensive power consumption index of each external power equipment, so that the power consumption index of each external power equipment can be accurately predicted and monitored. Furthermore, it effectively prevents the power supply box from malfunctioning due to overloading or unreasonable power distribution, thereby improving the safety and stability of the power supply box, and ensuring the stable power supply at the operation site at all times.

[0017] (2) The intelligent control system for the power supply box used at the operation site predicts the comprehensive power consumption index of each time period of the external power equipment, provides a more accurate power consumption warning for the power supply box, and effectively conducts power regulation control and optimizes resource allocation by predicting the power consumption of each external power equipment in the next time period. Taking construction site construction as an example, when using lighting equipment at night, the system can predict the power consumption in the next time period, adjust the power supply in advance, reduce unnecessary loads, optimize the utilization of power resources, and reduce energy waste, thereby improving the energy management efficiency at the operation site.

[0018] (3) The intelligent control system for the power supply box used at the operation site accurately predicts and analyzes the power consumption index of the external power equipment, and can thus intelligently select control measures according to the high or low power demand of the equipment, achieve flexible power management and effective load control, improve the energy efficiency utilization rate, reduce the failure risk, effectively improve the configuration efficiency of the power resources at the operation site, and ensure the long-term stable operation of the equipment.

[0019] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a block diagram of an intelligent control system for a power supply box used at an operation site according to the present invention.

[0021] Figure 2 It is a flowchart of the steps for obtaining the operation evaluation index of the power supply box to be controlled in an intelligent control system for a power supply box used at an operation site according to the present invention.

[0022] Figure 3 It is a flowchart of the steps for obtaining the comprehensive power consumption index of each time period of each external power equipment of the power supply box to be controlled in an intelligent control system for a power supply box used at an operation site according to the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0023] Please refer toFigure 1 , an embodiment of the present invention provides a technical solution: an intelligent control system for a power supply box used at a job site, including: a data acquisition and judgment module, configured to obtain operation monitoring data of the power supply box to be controlled, perform monitoring and analysis, obtain an operation evaluation index of the power supply box to be controlled, and perform judgment and analysis with a preset operation evaluation index threshold; an external power control module, configured to continuously obtain power operation timing data of several external power devices of the power supply box to be controlled when the operation evaluation index of the power supply box to be controlled is higher than the preset operation evaluation index threshold, and perform data analysis to obtain the comprehensive power consumption index of each external power device of the power supply box to be controlled at each time period; a prediction analysis module, configured to perform prediction analysis on the comprehensive power consumption index of each external power device of the power supply box to be controlled at each time period to obtain the power consumption index of the next time period of each external power device of the power supply box to be controlled; a power regulation module, configured to compare and analyze the power consumption index of the next time period of each external power device of the power supply box to be controlled with a preset corresponding power consumption index threshold (it should be noted here that because the functions and roles of each external power device are different, the consumed power is also different, and a corresponding power consumption index threshold is set for each external power device), and take corresponding regulation measures based on the comparison and analysis results; a power supply box repair module, configured to take repair measures when the operation evaluation index of the power supply box to be controlled is lower than or equal to the preset operation evaluation index threshold (that is, sensor failure repair, such as automatically switching to a standby sensor (for example, enabling channel 2 when channel 1 fails), sending an instruction through RS485, resetting the sensor drive parameters, recording the faulty channel and pushing an alarm to the operation and maintenance platform; communication interruption repair, such as automatically restarting the 4G module (controlling the module power supply through a relay), switching the communication protocol (such as UDP → TCP) or switching to a standby SIM card, resetting the server IP address to a backup node; overload / overheat repair, such as automatically triggering the corresponding circuit breaker to trip (output through KA1-KA5 relays), adjusting the load distribution (limiting the power of external devices through the MODBUS protocol); power supply anomaly repair, such as switching to a standby power supply (through an external 12V rail power supply), restricting the power supply of non-critical devices (by turning off the corresponding relay output), calibrating the parameters of the voltage detection module (adjusting the meter address through a configuration tool); and verifying the repair effect, such as re-collecting operation data, calculating the operation evaluation index after repair, and if the index returns above the threshold, recording the repair success; otherwise, escalating to manual intervention, and if the repair fails continuously 3 times, automatically pushing an emergency work order to the operation and maintenance personnel and triggering an audible and visual alarm (through a constantly lit alarm light / buzzer).

[0024] The repair measures are as follows: Sensor failure repair: Automatically switch to the standby sensor (enable Channel 2 if Channel 1 fails), send instructions via RS485, reset the sensor drive parameters, record the faulty channel, and push an alarm to the operation and maintenance platform; Communication interruption repair: Automatically restart the 4G module (control the module power supply through a relay), switch the communication protocol (such as UDP → TCP) or switch to the standby SIM card, and reset the server IP address to the backup node Overload / overheat repair: Automatically trigger the corresponding circuit breaker to trip (output through KA1 - KA5 relays), and adjust the load distribution (limit the power of external devices through the MODBUS protocol); Power supply anomaly repair: Switch to the standby power supply (through an external 12V rail power supply), limit the power supply to non - critical devices (by turning off the corresponding relay output), and calibrate the parameters of the voltage detection module (adjust the meter address through the configuration tool); Verify the repair effect, re - collect the operation data, calculate the operation evaluation index after repair. If the index returns above the threshold, record the successful repair; otherwise, escalate to manual intervention. If the repair fails three times in a row, automatically push an emergency work order to the operation and maintenance personnel and trigger an audible and visual alarm (through the constant on of the alarm light / buzzer).

[0025] The operation monitoring data includes the power supply stability index, internal environment anomaly index, communication anomaly index, and fault risk index. The power operation time - series data includes the active power value, voltage fluctuation index, running current fluctuation index, load fluctuation index, power factor, electromagnetic interference index, reverse power flow index, and ground current index.

[0026] Among them, the power supply stability index is an indicator to measure whether the power supply voltage is stable. It can be obtained by acquiring the actual voltage value and the rated voltage value and performing a ratio analysis (i.e., |actual voltage value - rated voltage value| / rated voltage value), and the resulting value is this parameter.

[0027] The internal environment anomaly index is an indicator to measure whether the environment inside the power supply box is abnormal. By acquiring the temperature value (obtained by the temperature sensor), relative humidity value (obtained by the humidity sensor), temperature alarm threshold, and humidity alarm threshold (obtained from the corresponding parameter alarm thresholds stored in the database), and performing ratio analysis respectively (such as, |temperature value - temperature alarm threshold| / temperature alarm threshold), and performing weighted processing based on the analysis results, the resulting value is this parameter.

[0028] The communication anomaly index measures the evaluation status of the communication module, including the 4G signal strength and the success rate of RS485 data reading. The 4G signal strength (obtained through the "Network Connection" interface of the configuration tool) and the success rate of RS485 data reading (statistically obtained through the "Data Debugging" interface) are standardized, and weighted processing is performed based on the processing results. The obtained result is this parameter.

[0029] The failure risk index is the probability of a failure. By obtaining the number of failures (obtained through the log file of the configuration tool) and the running duration (i.e., the duration that has been used, obtained through the log file of the configuration tool), and then performing a ratio analysis (i.e., running duration / number of failures), the obtained result is this parameter.

[0030] The voltage fluctuation index is an indicator to measure the voltage stability during this period. By obtaining the voltage values at each time point during this period (obtained through a voltage sensor) and performing standard deviation processing, the obtained result is this parameter.

[0031] The running current fluctuation index is an indicator to measure the current stability during this period. By obtaining the current values at each time point during this period (obtained through a current sensor) and performing standard deviation processing, the obtained result is this parameter.

[0032] The load fluctuation index is an indicator to measure the load stability during this period. The power values at each time point during this period are respectively subjected to ratio analysis with the rated power (obtained through the device specification stored in the data class), and standard deviation processing is performed based on the analysis results. The obtained result is this parameter.

[0033] The effective power value is the actual power consumed during this period, which can be obtained through power monitoring devices (such as power meters and smart meters).

[0034] The power factor is the degree of effective use of electricity, which can be obtained through a power meter.

[0035] The electromagnetic interference index is the degree of electromagnetic interference generated by power equipment during operation. Obtain the intensity of the electromagnetic field during this period (obtained through an electromagnetic interference tester) and the intensity of the standard electromagnetic field (obtained through the industry standard electromagnetic field intensity stored in the database) and perform ratio analysis (i.e., intensity of electromagnetic field / intensity of standard electromagnetic field). The obtained result is this parameter.

[0036] The reverse power flow index is used to measure whether there is reverse power flow in electrical equipment and is evaluated by the magnitude of the reverse power. That is, obtain the reverse power value (i.e., output power - input power, and both the output power and the input power can be obtained through an intelligent electricity meter), the rated power of the equipment (obtained from the equipment specification stored in the database), and perform a ratio analysis (i.e., reverse power value / rated power of the equipment). The resulting value is this parameter.

[0037] The ground current index is the ratio between the magnitude of the current flowing in the grounding circuit during normal operation of the equipment (obtained through a ground grid current sensor) and the magnitude of the reference flowing current (obtained from the electrical safety standards stored in the database).

[0038] Specifically, as Figure 2 shown, the specific steps to obtain the operation evaluation index of the power supply box to be controlled are as follows: Read the power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index of the power supply box to be controlled and perform normalization processing; Based on the normalized power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index of the power supply box to be controlled, perform comprehensive analysis to obtain the operation evaluation index of the power supply box to be controlled.

[0039] The specific formula for calculating the operation evaluation index of the power supply box to be controlled is as follows: ; Among them, is the operation evaluation index of the power supply box to be controlled, is the normalized power supply stability index, is the power supply adjustment coefficient stored in the database, is the normalized internal environment abnormality index, is the environment abnormality adjustment coefficient stored in the database, is the normalized communication abnormality index, is the communication abnormality adjustment coefficient stored in the database, is the normalized fault risk index, is the fault adjustment coefficient stored in the database, is the interaction adjustment coefficient stored in the database.

[0040] It should be explained that 、 、 、 、 It can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (power supply stability index, internal environment anomaly index, communication anomaly index, fault risk index) on the operation evaluation index through statistical regression analysis. Then, use the sensitivity analysis method to adjust the value range of the coefficients to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithms or multi-objective optimization) to ensure that the formula can accurately reflect the operation status of the actual power supply box.

[0041] In this implementation plan, by normalizing and comprehensively analyzing the power supply stability index, internal environment anomaly index, communication anomaly index, and fault risk index, the system can comprehensively evaluate the operation status of the power supply box from multiple perspectives, thus accurately reflecting the actual operation condition of the power supply box, further avoiding missing important operation risks, and then ensuring the efficient and safe operation of the power supply box. Secondly, through statistical regression analysis based on historical data, effectively determine the initial influence weights of each variable on the operation evaluation index, and then adjust the value range of these weight coefficients through sensitivity analysis, so as to ensure that the influence of each factor on the evaluation of the power supply box in actual operation is accurately quantified, further avoiding evaluation deviations caused by improper coefficient setting. After sensitivity analysis, use machine learning algorithms or multi-objective optimization to further fit the weights to enhance the adaptability of the power supply box in different operating environments. Finally, through the optimized operation evaluation index, it can provide more accurate data support when judging whether the power supply box needs to be regulated or repaired, which makes the regulation decision more intelligent, then reduces the occurrence of sudden failures, reduces the maintenance cost, and improves the service life of the equipment.

[0042] Specifically, such as Figure 3As shown in the figure, the specific steps to obtain the comprehensive power consumption index of each external power device of the power supply box to be controlled for each time period are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the initial power consumption index of each external power device of the power supply box to be controlled for each time period; and read the electromagnetic interference index, reverse power flow index, and ground current index of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the abnormal operation index of each external power device of the power supply box to be controlled for each time period; Obtain the device interference index, external environment interference index, and usage behavior index of each external power device of the power supply box to be controlled for each time period, and conduct comprehensive analysis to obtain the power consumption correction index of each external power device of the power supply box to be controlled for each time period; Conduct comprehensive analysis on the initial comprehensive power consumption index, abnormal operation index, and power consumption correction index of each external power device of the power supply box to be controlled for each time period to obtain the comprehensive power consumption index of each external power device of the control power supply box for each time period.

[0043] Among them, the device interference index can be obtained through the following steps: Obtain the device failure rate value (which is the ratio of the number of device failures to the total operating duration during this period, and the number of device failures can be obtained from the device maintenance log stored in the database, and the total operating duration is the total working time since the device was started and can be obtained from the device operation log stored in the database), the repair duration value (which is the total duration of device repair during this period and is obtained from the device maintenance log stored in the database), and the device vibration frequency value (obtained by a vibration sensor), and conduct standardization processing to obtain the standardized device failure rate value, repair times value, and device vibration frequency value, and conduct comprehensive analysis (i.e., weighted processing) to obtain the device interference index.

[0044] The external environment interference index can be obtained through the following steps: The external environment interference index is a measure of the degree of interference of the external environment on the device. By obtaining the temperature value (temperature sensor) of the external environment, the humidity value (temperature sensor), the concentration value of corrosive gas (gas sensor), the temperature reference value (obtained from the device manual stored in the database), the humidity reference value (obtained from the device manual stored in the database), and the concentration reference value of corrosive gas ( obtained from the device manual stored in the database), conduct ratio analysis respectively (such as, temperature value / temperature threshold value), and conduct weighted processing on the ratio results to obtain the external environment interference index.

[0045] The usage behavior index can be obtained through the following steps: Obtain the start-stop frequency value (obtained from the device operation logs stored in the database), the usage duration value (obtained from the device operation logs stored in the database), and perform normalization processing to obtain the normalized start-stop frequency value and usage duration value, and then conduct comprehensive analysis (i.e., weighted processing) to obtain the usage behavior index.

[0046] The specific formulas for calculating the abnormal operation index, power consumption correction index, and comprehensive power consumption index for each time period of each external power device of the power supply box to be controlled are as follows: ; where is the abnormal operation index of the th external power device of the power supply box to be controlled in the th time period, is the electromagnetic interference index of the th external power device of the power supply box to be controlled in the th time period, is the electromagnetic interference adjustment coefficient stored in the database, is the reverse power flow index of the th external power device of the power supply box to be controlled in the th time period, is the reverse power flow adjustment coefficient stored in the database, is the ground current index of the th external power device of the power supply box to be controlled in the th time period, is the ground current adjustment coefficient stored in the database, is the coupling adjustment coefficient of reverse power and ground current stored in the database, is the power consumption correction index of the th external power device of the power supply box to be controlled in the th time period, is the device interference index of the th external power device of the power supply box to be controlled in the th time period, is the device interference adjustment coefficient stored in the database, is the external environment interference index of the th external power device of the power supply box to be controlled in the th time period, is the external environment interference adjustment coefficient stored in the database, is the usage behavior index of the th external power device of the power supply box to be controlled in the th time period, is the usage behavior adjustment coefficient stored in the database, is the superposition adjustment coefficient stored in the database, is the th comprehensive power consumption index of the th external power equipment of the power supply box to be controlled, initial power consumption index of the th external power equipment of the power supply box to be controlled, is the initial power consumption adjustment coefficient stored in the database, is the operation anomaly adjustment coefficient stored in the database, is the power consumption correction adjustment coefficient stored in the database, is the comprehensive interaction coefficient stored in the database, 1, 2, 3, …, , is the number of external power equipment, 1, 2, 3, …,

[0047] It should be noted that , , , can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (electromagnetic interference index, reverse power flow index, ground current index) on the abnormal operation index through statistical regression analysis. Then, use the sensitivity analysis method to adjust the value range of the coefficients to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithms) to ensure that the formula can accurately reflect the actual abnormal operation state.

[0048] in the formula is used to adjust the superposition effect of the equipment interference index, external environment interference index, and usage behavior index, and avoid the power consumption correction index being too high or too low.

[0049] , , , can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (equipment interference index, external environment interference index, usage behavior index) on the power consumption correction index through statistical regression analysis. Then, use the sensitivity analysis method to adjust the value range of the coefficients to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as multi-objective optimization) to ensure that the formula can accurately reflect the actual effect of power consumption correction.

[0050] , , , It can be obtained through the following steps: using historical data, combined with the initial comprehensive power consumption index, abnormal operation index, and power consumption correction index, statistical regression analysis is performed to quantify the specific impact of each factor on the comprehensive power consumption index, thereby fitting the initial weight value; secondly, using the sensitivity analysis method, adjust the value range of each coefficient, observe its impact on the evaluation results of the comprehensive power consumption index, ensure the stability and rationality of the model, and based on the characteristics of the external power equipment and the actual situation, correct and optimize the preliminary fitted coefficients, and finally determine the coefficient value applicable to the specific external power equipment.

[0051] In this implementation scheme, by comprehensively analyzing multiple important indicators of external power equipment, the initial power consumption index of each external device in each time period is obtained. In addition, the abnormal operation of the equipment is further evaluated through the electromagnetic interference index, reverse power flow index and ground current index, thereby ensuring a comprehensive grasp of the equipment's operating status, and then accurately evaluating the equipment's power consumption, and discovering potential power problems in real time, providing a scientific basis for subsequent regulation. Secondly, the calculation of the power consumption correction index takes into account multiple factors such as equipment interference, external environmental interference and usage behavior, further optimizing the prediction ability of power consumption, and making the power consumption correction more accurate, so that the power supply can be adjusted in time when the equipment operates abnormally or the environment changes. For example, if the equipment is operating in a high temperature environment, the system will automatically adjust the power consumption correction index to reduce the energy efficiency reduction caused by equipment overheating and improve the efficiency and accuracy of power regulation. At the same time, the comprehensive power consumption index obtained through comprehensive analysis can identify abnormal conditions in equipment operation and make timely adjustments, thereby significantly reducing the incidence of equipment failures, thereby ensuring the efficient and stable operation of the power supply system, thereby improving energy utilization and reducing maintenance costs. Finally, through regression analysis based on historical data, the initial impact weight of each variable on the corresponding index is quantified, and the coefficient is adjusted using sensitivity analysis methods to ensure that the impact of each parameter on the final evaluation result is reasonable and stable, so that in actual applications, the operating status of the power box and each external power equipment can be evaluated more objectively and scientifically, avoiding misoperation caused by model imbalance.

[0052] Specifically, the specific steps to obtain the initial power consumption index of each external power device of the power supply box to be controlled are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power supply box to be controlled for each period, and perform normalization processing; Based on the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power supply box to be controlled after normalization processing, and conduct comprehensive analysis to obtain the initial power consumption index of each external power device of the power supply box to be controlled for each period.

[0053] The specific formula for calculating the initial power consumption index of each external power device of the power supply box to be controlled for each period is as follows: ; where is the initial power consumption index of the th external power device of the power supply box to be controlled for the th period, is the active power value of the th external power device of the power supply box to be controlled for the th period after normalization processing, is the active power adjustment coefficient stored in the database, is the voltage fluctuation index of the th external power device of the power supply box to be controlled for the th period after normalization processing, is the voltage fluctuation adjustment coefficient stored in the database, is the operating current fluctuation index of the th external power device of the power supply box to be controlled for the th period, is the current fluctuation adjustment coefficient stored in the database, is the load fluctuation index of the th external power device of the power supply box to be controlled for the th period, is the load fluctuation adjustment coefficient stored in the database, is the interaction fluctuation adjustment coefficient stored in the database, is the power factor of the th external power device of the power supply box to be controlled for the th period, is the power factor adjustment coefficient stored in the database, 1, 2, 3, …, , is the number of external power devices, 1, 2, 3, …, , is the number of time periods, is the natural constant, and its value is 2.71 in this embodiment.

[0054] It should be explained that , , , , , can be obtained through the following steps: Using historical data, by analyzing the dynamic changes of variables (active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, power factor), the statistical regression method is used to quantify the initial influence degree of each variable on the initial power consumption index, so as to obtain the initial coefficient value. Then, based on the sensitivity analysis technology, to evaluate the stability and applicability of these parameters to the formula output. Next, through model optimization (such as multi-objective optimization), the weights are further fitted, and the coefficients are fine-tuned based on the characteristics of different external power equipment to ensure its applicability to the specific initial power consumption index evaluation requirements.

[0055] An implementation example of calculating the initial power consumption index of each time period of the first external power equipment of the power supply box to be controlled is as follows. The following data are available: including the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of any five consecutive time periods. The specific data are shown in Table 1: Table 1 Example of initial power consumption data of the first external power equipment of the power supply box to be controlled

[0056] The data in Table 1 are standardized to obtain Table 2: Table 2 Example of initial power consumption data of the first external power equipment of the power supply box to be controlled after standardization

[0057] The active power adjustment coefficient stored in the database is approximately: 0.19; The voltage fluctuation adjustment coefficient stored in the database is approximately: 0.81; The current fluctuation adjustment coefficient stored in the database is approximately: 0.73; The load fluctuation adjustment coefficient stored in the database is approximately: 0.52; The interaction fluctuation adjustment coefficient stored in the database is approximately: 0.14; Power factor adjustment coefficient stored in the database Approximately: 0.32; Substitute the above coefficient and the data in Table 2 into the specific formula for calculating the initial power consumption index of each time period of the first external power device of the power supply box to be controlled, and obtain: Initial power consumption index of the first external power device of the power supply box to be controlled in time period 1 = (0.62 0.19 / (1 + ln(1 + 0.62))) * (0.39 0.81 * 0.41 0.73 * 0.34 0.52 ) 0.14 * 2.71 -0.32*0.81 ≈ 0.35; Initial power consumption index of the first external power device of the power supply box to be controlled in time period 2 = (0.75 0.19 / (1 + ln(1 + 0.75))) * (0.51 0.81 * 0.68 0.73 * 0.61 0.52 ) 0.14 * 2.71 -0.32*0.76 ≈ 0.38; Initial power consumption index of the first external power device of the power supply box to be controlled in time period 3 = (0.67 0.19 / (1 + ln(1 + 0.67))) * (0.42 0.81 * 0.52 0.73 * 0.57 0.52 ) 0.14 * 2.71 -0.32*0.83 ≈ 0.39; Initial power consumption index of the first external power device of the power supply box to be controlled in time period 4 = (0.79 0.19 / (1 + ln(1 + 0.79))) * (0.34 0.81 * 0.63 0.73 * 0.74 0.52 ) 0.14 * 2.71 -0.32*0.72 ≈ 0.40; Initial power consumption index of the first external power device of the power supply box to be controlled in time period 5 = (0.59 0.19 / (1 + ln(1 + 0.59))) * (0.29 0.81 * 0.35 0.73 * 0.31 0.52 ) 0.14 * 2.71 -0.32*0.84 ≈ 0.34.

[0058] In this implementation scheme, by comprehensively analyzing multiple key indicators such as the active power, voltage fluctuation, operating current fluctuation, load fluctuation, and power factor of the external power equipment, it is possible to comprehensively measure the power consumption. Moreover, the standardized data not only makes the parameters of different units and magnitudes comparable, but also combines factors such as voltage fluctuation and load fluctuation, effectively avoiding errors caused by a single factor, thereby accurately reflecting the power consumption status of the equipment during a specific period, and improving the regulation accuracy of the power supply system. Secondly, by performing dynamic regression analysis using historical data, it is possible to quantify the influence of different variables (such as voltage fluctuation and power factor) on the initial power consumption, preliminarily determine the values of various coefficients, and combine sensitivity analysis to evaluate the stability and applicability of these coefficients to the initial power consumption index, thereby ensuring the robustness of the formula. Then, flexibly adjust the weight coefficients according to the characteristics of the external equipment, avoiding unnecessary over-adjustment or inaccurate evaluation. Finally, automatically adjust the power distribution according to the specific power consumption requirements to improve the overall energy usage efficiency, and automatically adjust based on its load fluctuation and power factor to prevent power waste and excessive consumption, thereby reducing the complexity of power scheduling, and then improving the energy efficiency and economic benefits of the equipment.

[0059] Specifically, the specific steps to obtain the power consumption index of each external power equipment of the power supply box to be controlled for the next period are as follows: perform a trend analysis on the comprehensive power consumption index of each external power equipment of the power supply box to be controlled for each period (that is, the difference result of subtracting the comprehensive power consumption index of the previous period from that of the next period, divided by the period time) to obtain several groups of comprehensive power consumption index change rates of each external power equipment of the power supply box to be controlled; and perform a mean processing on the comprehensive power consumption index of each external power equipment of the power supply box to be controlled for each period to obtain the comprehensive power consumption index mean of each external power equipment of the power supply box to be controlled, and perform a comprehensive analysis in combination with each group of comprehensive power consumption index change rates to obtain the comprehensive power consumption prediction index of each external power equipment of the power supply box to be controlled, that is, the power consumption index of each external power equipment of the power supply box to be controlled for the next period.

[0060] Among them, the specific formula for calculating the comprehensive power consumption prediction index of each external power equipment of the power supply box to be controlled is as follows: ; where, is the comprehensive power consumption prediction index of the th external power equipment of the power supply box to be controlled, is the comprehensive power consumption index mean of the th external power equipment of the power supply box to be controlled, is the th of the Group comprehensive power consumption index change rate, is the first change rate adjustment coefficient stored in the database, is the second change rate adjustment coefficient stored in the database, 1, 2, 3, …, , is the number of external power devices, 1, 2, 3, …, , is the number of groups of comprehensive power consumption index change rates.

[0061] It should be noted that, 、 can be obtained through the following steps: Based on historical data, determine the initial influence weight of the comprehensive power consumption index change rate on the comprehensive power consumption prediction index through statistical regression analysis. Then, use the sensitivity analysis method to adjust the value range of the coefficients to evaluate the stability and applicability of these coefficients to the formula output.

[0062] In this implementation plan, by performing trend analysis on the comprehensive power consumption index change rate of each external power device, the change trend of the device's power consumption can be identified, thereby providing a strong prediction basis for the power consumption in the next time period, improving the accuracy of power consumption, and avoiding the situation of insufficient power supply or excessive waste. Secondly, by averaging the comprehensive power consumption index of each external power device, the influence of abnormal fluctuations and instantaneous changes can be eliminated, making the power consumption prediction more stable and reliable. Through statistical regression analysis based on historical data, the influence of the comprehensive power consumption index change rate on the power consumption prediction index is quantified to obtain the initial influence weight, and further adjusted through sensitivity analysis to ensure the applicability and stability of the model parameters under different conditions, thereby ensuring more accurate power consumption prediction for each external device. Finally, through accurate power consumption prediction, data support is provided for the regulation of the power supply box, helping to optimize the allocation of power resources, reduce the risks of power waste and insufficient supply, and improve the energy utilization efficiency.

[0063] Specifically, the specific steps for taking corresponding control measures based on the comparison analysis results are as follows: If the power consumption index of each external power device of the power supply box to be controlled in the next time period is higher than the corresponding preset power consumption index threshold, then take the first control measure (that is, for the external power device with a power consumption index higher than the corresponding preset power consumption index threshold, remotely cut off the power supply based on the power supply box, that is, send a close / open signal through the DO interface; perform frequency reduction or current limiting control, that is, send a MODBUS instruction to adjust the meter parameters; and send an emergency notice to upload the alarm event to the platform through the 4G module); if the power consumption index of each external power device of the power supply box to be controlled in the next time period is not higher than the corresponding preset power consumption index threshold, then take the second control measure (that is, for the external power device with a power consumption index not higher than the corresponding preset power consumption index threshold, maintain the current operating state based on the power supply box, that is, do not trigger any relay actions; optimize the energy efficiency parameters, that is, adjust the system parameters through the configuration tool; enable the energy-saving mode, that is, send a DLT645 protocol instruction to set the device mode; record and generate a report, that is, store the data locally or in the cloud and generate a CSV / PDF report).

[0064] In this implementation scheme, by comparing with the power consumption index threshold, abnormal devices (such as devices with excessive power consumption) can be identified in a timely manner, and control measures (such as remotely cutting off the power supply, frequency reduction or current limiting, etc.) can be taken quickly, which helps to avoid power supply overload or equipment damage due to overload, and then ensures the stability of the entire power system and the safety of the equipment. Secondly, this step provides two different control measures: the first control measure is applicable to abnormal situations, and the second control measure plays a role when the equipment is operating normally, so as to effectively respond to different working scenarios and power consumption changes, ensuring that the system can not only respond to excessive power consumption in a timely manner, but also improve energy efficiency by optimizing parameters under normal conditions, achieving the combination of "early warning control and continuous optimization". Finally, through the system automatically detecting the power consumption index of the equipment and implementing control according to the comparison results, the whole process realizes a high degree of automation, thereby reducing manual intervention, reducing the operation complexity, and improving the response speed and accuracy of the system.

[0065] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications once they know the basic creative concept. Therefore, the appended claims are intended to be construed as including the preferred embodiments and all changes and modifications falling within the scope of the present invention.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent control system for a power supply box used at a work site, characterized in that: include: The data acquisition and judgment module is used to obtain the operation monitoring data of the power supply box to be controlled, and perform monitoring and analysis to obtain the operation evaluation index of the power supply box to be controlled, and perform judgment and analysis with the preset operation evaluation index threshold; The external power control module is used to continuously obtain the power operation sequence data of several external power devices of the power box to be controlled when the operation evaluation index of the power box to be controlled is higher than the preset operation evaluation index threshold, and perform data analysis to obtain the comprehensive power consumption index of each external power device of the power box to be controlled in each time period; A prediction and analysis module, used to perform prediction and analysis on the comprehensive power consumption index of each external power device in each period of the power box to be controlled, and obtain the power consumption index of each external power device in the next period of the power box to be controlled; The power control module is used to compare and analyze the power consumption index of each external power device of the power box to be controlled in the next period with the preset corresponding power consumption index threshold, and take corresponding control measures based on the comparison and analysis results; The power box repair module is used to take repair measures when the operation evaluation index of the power box to be controlled is lower than or equal to a preset operation evaluation index threshold.

2. The intelligent control system for power supply box used at the work site according to claim 1 is characterized in that: The operation monitoring data includes power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index; the power operation timing data includes active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, power factor, electromagnetic interference index, reverse power flow index, and ground current index.

3. The intelligent control system for power supply box used at the work site according to claim 2 is characterized in that: The specific steps to obtain the operation evaluation index of the power box to be controlled are as follows: Read the power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index of the power box to be controlled for normalization processing; Based on the normalized power supply stability index, internal environment abnormality index, communication abnormality index and fault risk index of the power box to be controlled, a comprehensive analysis is performed to obtain the operation evaluation index of the power box to be controlled.

4. The intelligent control system for power supply box used at the work site according to claim 3 is characterized in that: The specific formula for calculating the operation evaluation index of the power box to be controlled is as follows: ； in, is the operation evaluation index of the power box to be controlled, , , , They are the normalized power supply stability index, internal environment abnormality index, communication abnormality index, and fault risk index. , , , , They are the power supply adjustment coefficient, environmental abnormality adjustment coefficient, communication abnormality adjustment coefficient, fault adjustment coefficient, and interaction adjustment coefficient stored in the database.

5. The intelligent control system for power supply box used at the work site according to claim 2 is characterized in that: The specific steps of obtaining the comprehensive power consumption index of each external power device in each period of the power box to be controlled are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power box to be controlled in each period, and perform comprehensive analysis to obtain the initial power consumption index of each external power device of the power box to be controlled in each period; And read the electromagnetic interference index, reverse power flow index, and ground current index of each external power device of the power box to be controlled in each period, and perform comprehensive analysis to obtain the abnormal operation index of each external power device of the power box to be controlled in each period; Obtain the device interference index, external environment interference index, and usage behavior index of each external power device in each period of the power box to be controlled, and conduct a comprehensive analysis to obtain the power consumption correction index of each external power device in each period of the power box to be controlled; The initial comprehensive power consumption index, abnormal operation index and power consumption correction index of each time period of each external power device in the power box to be controlled are comprehensively analyzed to obtain the comprehensive power consumption index of each time period of each external power device in the control power box.

6. The intelligent control system for power supply box used at the work site according to claim 5 is characterized in that: The specific formula for calculating the abnormal operation index, power consumption correction index, and comprehensive power consumption index of each external power device in each period of the power box to be controlled is as follows: ； in, The first power box to be controlled The first external power device The abnormal operation index of each period, , , are the first The first external power device The electromagnetic interference index, reverse power flow index, and ground current index of each time period, , , , They are the electromagnetic interference adjustment coefficient, reverse power flow adjustment coefficient, ground current adjustment coefficient, and reverse power and ground current coupling adjustment coefficient stored in the database. , , , The first The first external power device Power consumption correction index, equipment interference index, external environment interference index, and usage behavior index for each period. , , , They are the device interference adjustment coefficient, external environment interference adjustment coefficient, usage behavior adjustment coefficient, and superposition adjustment coefficient stored in the database. The first power box to be controlled The first external power device The comprehensive electricity consumption index for each period, The first power box to be controlled The first external power device The initial power consumption index for each period, , , , They are the initial power consumption adjustment coefficient, abnormal operation adjustment coefficient, power consumption correction adjustment coefficient, and comprehensive interaction coefficient stored in the database. 1, 2, 3, ..., , is the number of external power devices, 1, 2, 3, ..., , The number of time periods.

7. The intelligent control system for power supply box used at the work site according to claim 5 is characterized in that: The specific steps of obtaining the initial power consumption index of each external power device in each period of the power box to be controlled are as follows: Read the active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, and power factor of each external power device of the power box to be controlled in each period, and perform standardization processing; Based on the standardized active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index and power factor of each external power equipment in each time period of the power box to be controlled, a comprehensive analysis is performed to obtain the initial power consumption index of each external power equipment in each time period of the power box to be controlled.

8. The intelligent control system for power supply box used at the work site according to claim 7 is characterized in that: The specific formula for calculating the initial power consumption index of each external power device in each period of the power box to be controlled is as follows: ； in, The first power box to be controlled The first external power device The initial power consumption index for each period, , , , , The first and second power boxes to be controlled after standardized processing are The first external power device Active power value, voltage fluctuation index, operating current fluctuation index, load fluctuation index, power factor of each time period, , , , , , They are the active power adjustment coefficient, voltage fluctuation adjustment coefficient, current fluctuation adjustment coefficient, load fluctuation adjustment coefficient, interaction fluctuation adjustment coefficient, and power factor adjustment coefficient stored in the database. 1, 2, 3, ..., , is the number of external power devices, 1, 2, 3, ..., , is the number of time periods, is a natural constant.

9. The intelligent control system for power supply box used at the work site according to claim 1, characterized in that: The specific steps of obtaining the power consumption index of each external power device in the next period of the power box to be controlled are as follows: Perform trend analysis on the comprehensive power consumption index of each external power device in each period of the power box to be controlled, and obtain several groups of comprehensive power consumption index change rates of each external power device in the power box to be controlled; The comprehensive power consumption index of each external power equipment in the power box to be controlled in each time period is averaged to obtain the average of the comprehensive power consumption index of each external power equipment in the power box to be controlled, and a comprehensive analysis is performed in combination with the change rate of each group of comprehensive power consumption index to obtain the comprehensive power consumption prediction index of each external power equipment in the power box to be controlled, that is, the power consumption index of each external power equipment in the power box to be controlled in the next time period.

10. The intelligent control system for power supply box used at the work site according to claim 1, characterized in that: The specific steps for taking corresponding regulatory measures based on the comparison and analysis results are as follows: If the power consumption index of each external power device of the power box to be controlled in the next period is higher than the preset corresponding power consumption index threshold, a first control measure is taken; If the power consumption index of each external power device of the power box to be controlled in the next period is not higher than the preset corresponding power consumption index threshold, the second control measure is taken.

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